Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning

Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great challenge due to the high variability of cardiac structures and...

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Vydáno v:	IEEE transactions on medical imaging Ročník 36; číslo 10; s. 2057 - 2067
Hlavní autoři:	Wufeng Xue, Islam, Ali, Bhaduri, Mousumi, Shuo Li
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks cardiac MR Convolution Coronary artery disease deep convolution autoencoder direct estimation Error reduction Estimation Feature extraction Heart - anatomy & histology Heart - diagnostic imaging Heart - physiology Heart diseases Heart Function Tests Humans Image Interpretation, Computer-Assisted - methods Image processing Image representation Image segmentation joint learning Machine Learning Magnetic Resonance Imaging, Cine - methods Medical imaging Multitype cardiac indices Myocardium Neural networks Neural Networks (Computer) Regression Analysis Regression models Representations Thickness Volume measurement
ISSN:	0278-0062, 1558-254X, 1558-254X
On-line přístup:	Získat plný text
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